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Found 107 Skills
Generates iterable checklist PROMPT files for Ralph Loop from plan files or current context, and provides the /ralph-loop execution command.
Initialize a PRD (Product Requirements Document) for structured ralph-loop execution
Technical mechanics for autonomous AI coding loops
Activate autonomous Ralph Wiggum loop mode for iterative task completion. Use when you have a well-defined task with clear completion criteria that benefits from persistent, autonomous execution.
Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format, create prd.json from this, ralph json.
랄프톤 서울 중간발표 양식에 맞춘 slides-grab 기반 인터뷰형 워크플로우입니다. 사용자가 한국어 발표 덱을 원할 때, 필수 인터뷰를 먼저 진행하고 slide-outline.md를 만든 뒤 HTML 슬라이드를 생성·검증하고 viewer를 빌드한 다음 반드시 slides-grab editor까지 실행합니다.
Runs the Ralph autonomous loop. Executes stories from prds/*.json using git worktrees.
Generate Ralph-compatible prompts for single implementation tasks. Creates prompts with clear completion criteria, automatic verification, and TDD approach. Use when creating prompts for bug fixes, single features, refactoring tasks, or any focused implementation that can be completed in one session.
Start a Ralph Loop for iterative self-referential development. Use when the user asks to run a ralph loop, start an iterative loop, or wants repeated autonomous iteration on a task until completion.
Autonomous agent for tackling big projects. Create PRDs with user stories, then run them via the CLI. Sessions persist across restarts with pause/resume and real-time monitoring.
Generate Ralph-compatible prompts for research, analysis, and planning tasks. Creates prompts with systematic research phases, synthesis requirements, and deliverable specifications. Use when analyzing codebases, creating migration plans, researching technologies, auditing security, or any task requiring investigation before action.
Set up and run Ralph Wiggum loop - autonomous AI coding with clean slate iterations, PRD-driven features, and CI quality gates. Use for long-running autonomous coding tasks.